aborist/qa/query.py exposes query() — the user-facing RAG flow:
1. FTS5 search across all shards (chunks_fts can't be UNION'd as a
view, so each shard's index is queried independently and merged
by score).
2. Top-K distinct documents are selected within a max-context-chars
budget (default 60 KB so a 768-token response fits Hermes-3's
82 K context window comfortably).
3. context_root = Merkle root over the sorted source document_roots.
That's the v9.8 'source' dimension for multi-source answers —
a verifier can recompute it from the listed source roots.
4. 8-dim cache_key over (context_root, question_hash, model_profile,
conversation, governance_policy, schema, canonicalization,
chunking). Hit returns STRICT immediately; miss calls Hermes and
persists.
CLI: aborist [--shards-dir DIR] query "<question>"
Default qa_db is <shards-dir>/qa.db (or ~/.aborist/qa.db). Uses the
same OpenAICompatibleClient/StubClient as `ask`. --dry-run skips the
LLM and returns context-only.
Search escape fix: the prior FTS5 escape ANDed every token including
stopwords + punctuation, so "What is anarcho-capitalism?" required
the doc to literally contain "what" + "is" + "anarcho-capitalism?" —
zero hits. New tokenizer drops stopwords + punctuation and ORs the
remaining content tokens; BM25 ranks the multi-token matches highest.
Live demo against the 122k-doc 4-shard cluster:
Q "What is anarcho-capitalism?" 6.1 s wall miss / 0.45 s cache hit
Q "Who was George Washington?" 10.3 s wall miss
Both answers cite the source URIs Hermes was given.
57 tests passing (4 new query tests covering search → context →
cache → audit chain).
167 lines
4.9 KiB
Python
167 lines
4.9 KiB
Python
"""Multi-source corpus Q&A: search → context → cache → Hermes.
|
|
|
|
Stub client only — no network. Validates:
|
|
- FTS5 finds the right docs across a small corpus
|
|
- context_root is deterministic (sorted source roots, then Merkle)
|
|
- cache hit on identical question returns same record without calling client
|
|
- different question -> different cache_key
|
|
"""
|
|
|
|
from __future__ import annotations
|
|
|
|
import json
|
|
from typing import Iterator
|
|
|
|
from aborist.document import Document
|
|
from aborist.ingest import ingest_source
|
|
from aborist.qa import query
|
|
from aborist.qa.client import StubClient
|
|
from aborist.source import Source
|
|
from aborist.store import connect
|
|
|
|
|
|
class FakeSource(Source):
|
|
source_type = "test"
|
|
|
|
def __init__(self, docs: list[Document]):
|
|
self.docs = docs
|
|
|
|
def iter_documents(self) -> Iterator[Document]:
|
|
yield from self.docs
|
|
|
|
|
|
def _doc(uri: str, content: str) -> Document:
|
|
return Document(uri=uri, content=content, source_type="test", title=uri.rsplit("/", 1)[-1])
|
|
|
|
|
|
# Three docs with distinguishable content so FTS5 can pick winners.
|
|
DOCS = [
|
|
_doc(
|
|
"test://anarchism",
|
|
"Anarchism is a political philosophy that opposes the state. " * 12
|
|
+ "Mutual aid is central to anarchist theory. " * 8,
|
|
),
|
|
_doc(
|
|
"test://capitalism",
|
|
"Capitalism is an economic system based on private ownership. " * 12
|
|
+ "Market exchange and capital accumulation drive growth. " * 8,
|
|
),
|
|
_doc(
|
|
"test://anarcho-capitalism",
|
|
"Anarcho-capitalism combines anarchism's opposition to the state with capitalism's private property. " * 12
|
|
+ "Murray Rothbard developed many of its core ideas. " * 8,
|
|
),
|
|
]
|
|
|
|
|
|
def test_query_picks_relevant_docs_and_writes_record(tmp_path):
|
|
main_db = tmp_path / "corpus.db"
|
|
qa_db = tmp_path / "qa.db"
|
|
conn = connect(main_db)
|
|
try:
|
|
ingest_source(conn, FakeSource(DOCS))
|
|
finally:
|
|
conn.close()
|
|
|
|
client = StubClient(answer="anarcho-capitalism rests on private property without a state.")
|
|
result = query(
|
|
question="What is anarcho-capitalism?",
|
|
qa_db=qa_db,
|
|
chat_client=client,
|
|
model_id="test-model",
|
|
single_db=main_db,
|
|
top_k=3,
|
|
)
|
|
|
|
assert result["status"] == "cache_miss_then_written"
|
|
assert result["audit_mode"] == "STRICT"
|
|
assert "anarcho-capitalism" in result["answer_text"]
|
|
assert len(result["sources"]) >= 1
|
|
assert any("anarcho-capitalism" in s["document_uri"] for s in result["sources"])
|
|
|
|
# context_root is deterministic.
|
|
sorted_roots = sorted(s["document_root"] for s in result["sources"])
|
|
if len(sorted_roots) == 1:
|
|
assert result["context_root"] == sorted_roots[0]
|
|
# Repeat call with same question → cache hit, no LLM call.
|
|
n_calls_before = len(client.calls)
|
|
result2 = query(
|
|
question="What is anarcho-capitalism?",
|
|
qa_db=qa_db,
|
|
chat_client=client,
|
|
model_id="test-model",
|
|
single_db=main_db,
|
|
top_k=3,
|
|
)
|
|
assert result2["status"] == "cache_hit"
|
|
assert result2["cache_key"] == result["cache_key"]
|
|
assert len(client.calls) == n_calls_before # no new call
|
|
|
|
|
|
def test_query_different_question_different_cache(tmp_path):
|
|
main_db = tmp_path / "corpus.db"
|
|
qa_db = tmp_path / "qa.db"
|
|
conn = connect(main_db)
|
|
try:
|
|
ingest_source(conn, FakeSource(DOCS))
|
|
finally:
|
|
conn.close()
|
|
|
|
client = StubClient(answer="answer text")
|
|
r1 = query(
|
|
question="What is anarchism?",
|
|
qa_db=qa_db,
|
|
chat_client=client,
|
|
model_id="m",
|
|
single_db=main_db,
|
|
)
|
|
r2 = query(
|
|
question="What is capitalism?",
|
|
qa_db=qa_db,
|
|
chat_client=client,
|
|
model_id="m",
|
|
single_db=main_db,
|
|
)
|
|
assert r1["cache_key"] != r2["cache_key"]
|
|
assert len(client.calls) == 2 # both missed cache, both called client
|
|
|
|
|
|
def test_query_no_sources_when_empty_corpus(tmp_path):
|
|
main_db = tmp_path / "empty.db"
|
|
qa_db = tmp_path / "qa.db"
|
|
connect(main_db).close() # creates schema, no docs
|
|
result = query(
|
|
question="What is anything?",
|
|
qa_db=qa_db,
|
|
chat_client=StubClient(),
|
|
model_id="m",
|
|
single_db=main_db,
|
|
)
|
|
assert result["status"] == "no_sources"
|
|
|
|
|
|
def test_query_persists_audit_event(tmp_path):
|
|
main_db = tmp_path / "corpus.db"
|
|
qa_db = tmp_path / "qa.db"
|
|
conn = connect(main_db)
|
|
try:
|
|
ingest_source(conn, FakeSource(DOCS))
|
|
finally:
|
|
conn.close()
|
|
query(
|
|
question="What is anarchism?",
|
|
qa_db=qa_db,
|
|
chat_client=StubClient(answer="X"),
|
|
model_id="m",
|
|
single_db=main_db,
|
|
)
|
|
# qa.db should now have one providence_query event in its audit chain.
|
|
qc = connect(qa_db)
|
|
try:
|
|
events = qc.execute(
|
|
"SELECT event_type FROM audit_events ORDER BY seq"
|
|
).fetchall()
|
|
finally:
|
|
qc.close()
|
|
types = [e["event_type"] for e in events]
|
|
assert "providence_query" in types
|